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ReCoPII: A Relation-Grounded Framework for Building Contextual PII Masking Datasets
Author1, Author2, Author3, Author4, Author5
PII maskingdata augmentationentity relations
2610.35925
Builder Relevance
1h ago80%
Abstract
The paper presents ReCoPII, a framework for creating contextual PII masking datasets that overcomes privacy restrictions by utilizing relation-grounded methods.
Reality Card
Core Claim
ReCoPII-Ko corpus achieves 88.42% agreement on KEEP labels, significantly outperforming SPY-style augmentation which only achieved 26.27%.
Method / Result
Classifiers trained on ReCoPII-Ko over-mask less than those trained on SPY-style augmentation.
Limitations
The framework relies on specific entity relations and may not generalize well across all domains or languages.
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